Transformational Coaching Workshop: Applying a Person-Centred Approach to Coach Development Programs

2017 ◽  
Vol 4 (3) ◽  
pp. 314-325 ◽  
Author(s):  
Jennifer Turnnidge ◽  
Jean Côté
Keyword(s):  
Transformational Leadership ◽  
Behaviour Change ◽  
Systematic Evaluation ◽  
Positive Development ◽  
Development Programs ◽  
Coach Learning ◽  
Design And Implementation ◽  
Coach Development ◽  
Transformational Coaching

It is well established that coach learning and athlete outcomes can be enhanced through participation in Coach Development Programs (CDPs). Researchers advocate that the quality of CDPs can be improved by: (a) placing a greater emphasis on facilitating coaches’ interpersonal behaviours (Lefebvre, Evans, et al., 2016), (b) using appropriate and systematic evaluation frameworks to guide the evaluation of interpersonally-focused CDPs (Evans et al., 2015), and (c) incorporating behaviour change theories into the design and implementation of these CDPs (Allan et al., 2017). In doing so, the relevance of CDP content and the uptake of this content among coaching practitioners may be enhanced. Transformational leadership theory provides a valuable guiding framework for designing CDPs that aim to promote positive development in youth sport. Thus, the goal of the present paper is to outline the development of a novel, evidence-informed CDP: The Transformational Coaching Workshop and to provide practical strategies for the implementation of this workshop.

scholarly journals Successful coach learning: Digital workbook informed by pedagogical principles

2019 ◽  
Vol 14 (3) ◽  
pp. 310-323 ◽  
Author(s):  
Hedda Berntsen ◽  
Elsa Kristiansen
Keyword(s):  
Cognitive Science ◽  
Cognitive Theory ◽  
Development Program ◽  
Learning Material ◽  
Development Programs ◽  
Educational Value ◽  
Coach Learning ◽  
Coach Development ◽  
New Material ◽  
Pedagogical Principles

This study was based on the hypothesis that advances in cognitive science may be helpful for Coach Development Programs. We wondered: How can a learning tool such as a digital workbook that is informed by evidence-based pedagogical principles be helpful for coach development? After designing the learning material, based on the cognitive theory of multimedia learning, the digital workbook was used in a coach development program that aimed to improve coaches' need-supportiveness. Ten coaches at an elite sport school in Norway attended the program over a season, and afterwards they were asked whether the learning material had contributed to their knowledge of need-supportive skills. Thematic analysis of the interviews revealed visualization, awareness, and transfer to one’s practice as the three main themes describing the educational value of the digital workbook. The material showed the coaches how need-support can be acted out in a sport-specific context. Additionally, the learning material resulted in increased engagement and awareness through coaches' reflections, which is an important step towards integrating new material to prior knowledge and create meaningful learning. Finally, the coaches highlighted transfer of the presented learning material to their practice experiences. We conclude that cognitive science may have useful implications for the design of effective learning materials for coach development programs.

An Exploration of the Content and Quality of Online, Text-Based Coach Development Programs Specific to Parasport

2021 ◽  
pp. 1-7
Author(s):  
Janet A. Lawson ◽  
Jennifer Turnnidge ◽  
Amy E. Latimer-Cheung
Keyword(s):  
Learning Opportunities ◽  
Online Resources ◽  
Technical Quality ◽  
Development Programs ◽  
Resource Quality ◽  
Knowledge Domains ◽  
Preventative Health ◽  
Coach Development ◽  
Important Means

Nonformal learning opportunities, such as accessing text-based online resources, are an important means of developing parasport coaches’ knowledge of how to coach. However, the focus of such resources, as well as their quality and quantity, are unknown. Using an adapted version of Lefebvre, Evans, Turnnidge, Gainforth, and Côté’s taxonomy of coach development programs, the authors explored and cataloged text-based online resources for parasport coaches identified through a broad Internet search. In addition, the technical quality of these resources was evaluated. After cataloguing and evaluating 136 resources, professional knowledge domains, specifically pedagogy and planning, were identified as the most commonly targeted domains of focus. The least frequently cited professional domains of focus were maltreatment, movement fundamentals, and preventative health and health promotion. Limited resources addressed interpersonal and intrapersonal domains of focus. Resource quality varied greatly, but the overall quality was low indicating that increasing the technical quality of online resources should be prioritized in the future.

Principals’ Policy Preferences concerning Accountability: Implications for Key Competencies, Performance Indicators, and Professional Development

1995 ◽  
Vol 5 (5) ◽  
pp. 448-481 ◽  
Author(s):  
R. J. S. Mac Macpherson ◽  
Margaret Taplin
Keyword(s):  
Professional Development ◽  
Performance Indicators ◽  
Policy Preferences ◽  
Development Programs ◽  
Stakeholder Groups ◽  
Key Competencies ◽  
Professional Development Programs ◽  
Accountability Practices ◽  
State Schools

In this paper, we examine the policy preferences of Tasmania's principals concerning accountability criteria and processes, compare their views to other stakeholder groups, and identify issues that warrant attention in principals’ professional development programs. We show that there are many criteria and processes related to the quality of learning, teaching, and leadership that are valued by all stakeholder groups, including principals. We conclude that Tasmanian state schools probably need to review and develop their accountability policies, and that the professional development will need to prepare leaders for specific forms of performance and generate key competencies if more educative forms of accountability practices are to be realised in practice.

scholarly journals Using Regulatory Flexibility to Address Market Informality in Seed Systems: A Global Study

Agronomy ◽  
2021 ◽  
Vol 11 (2) ◽  
pp. 377
Author(s):  
Katrin Kuhlmann ◽  
Bhramar Dey
Keyword(s):  
Seed Quality ◽  
Regulatory Environment ◽  
Control Mechanisms ◽  
Seed Systems ◽  
High Quality ◽  
Design And Implementation ◽  
Key Dimensions ◽  
Regulatory Flexibility

Seed rules and regulations determine who can produce and sell seeds, which varieties will be available in the market, the quality of seed for sale, and where seed can be bought and sold. The legal and regulatory environment for seed impacts all stakeholders, including those in the informal sector, through shaping who can participate in the market and the quality and diversity of seed available. This paper addresses a gap in the current literature regarding the role of law and regulation in linking the informal and formal seed sectors and creating more inclusive and better governed seed systems. Drawing upon insights from the literature, global case studies, key expert consultations, and a methodology on the design and implementation of law and regulation, we present a framework that evaluates how regulatory flexibility can be built into seed systems to address farmers’ needs and engage stakeholders of all sizes. Our study focuses on two key dimensions: extending market frontiers and liberalizing seed quality control mechanisms. We find that flexible regulatory approaches and practices play a central role in building bridges between formal and informal seed systems, guaranteeing quality seed in the market, and encouraging market entry for high-quality traditional and farmer-preferred varieties.

scholarly journals Toward an Automatic Quality Assessment of Voice-Based Telemedicine Consultations: A Deep Learning Approach

Sensors ◽  
2021 ◽  
Vol 21 (9) ◽  
pp. 3279
Author(s):  
Maria Habib ◽  
Mohammad Faris ◽  
Raneem Qaddoura ◽  
Manal Alomari ◽  
Alaa Alomari ◽  
...  
Keyword(s):  
Neural Networks ◽  
Deep Learning ◽  
Quality Assessment ◽  
Transcript Level ◽  
Assessment Process ◽  
Classification Model ◽  
Systematic Evaluation ◽  
Transcript Levels ◽  
Perceptual Evaluation

Maintaining a high quality of conversation between doctors and patients is essential in telehealth services, where efficient and competent communication is important to promote patient health. Assessing the quality of medical conversations is often handled based on a human auditory-perceptual evaluation. Typically, trained experts are needed for such tasks, as they follow systematic evaluation criteria. However, the daily rapid increase of consultations makes the evaluation process inefficient and impractical. This paper investigates the automation of the quality assessment process of patient–doctor voice-based conversations in a telehealth service using a deep-learning-based classification model. For this, the data consist of audio recordings obtained from Altibbi. Altibbi is a digital health platform that provides telemedicine and telehealth services in the Middle East and North Africa (MENA). The objective is to assist Altibbi’s operations team in the evaluation of the provided consultations in an automated manner. The proposed model is developed using three sets of features: features extracted from the signal level, the transcript level, and the signal and transcript levels. At the signal level, various statistical and spectral information is calculated to characterize the spectral envelope of the speech recordings. At the transcript level, a pre-trained embedding model is utilized to encompass the semantic and contextual features of the textual information. Additionally, the hybrid of the signal and transcript levels is explored and analyzed. The designed classification model relies on stacked layers of deep neural networks and convolutional neural networks. Evaluation results show that the model achieved a higher level of precision when compared with the manual evaluation approach followed by Altibbi’s operations team.

scholarly journals Are Multi-Language Design Smells Fault-Prone? An Empirical Study

2021 ◽  
Vol 30 (3) ◽  
pp. 1-56
Author(s):  
Mouna Abidi ◽  
Md Saidur Rahman ◽  
Moses Openja ◽  
Foutse Khomh
Keyword(s):  
Programming Languages ◽  
Language Design ◽  
Functional Requirements ◽  
Code Smells ◽  
Design And Implementation ◽  
Design Smells ◽  
The Cost ◽  
The Impact ◽  
Fault Proneness

Nowadays, modern applications are developed using components written in different programming languages and technologies. The cost benefits of reuse and the advantages of each programming language are two main incentives behind the proliferation of such systems. However, as the number of languages increases, so do the challenges related to the development and maintenance of these systems. In such situations, developers may introduce design smells (i.e., anti-patterns and code smells) which are symptoms of poor design and implementation choices. Design smells are defined as poor design and coding choices that can negatively impact the quality of a software program despite satisfying functional requirements. Studies on mono-language systems suggest that the presence of design smells may indicate a higher risk of future bugs and affects code comprehension, thus making systems harder to maintain. However, the impact of multi-language design smells on software quality such as fault-proneness is yet to be investigated. In this article, we present an approach to detect multi-language design smells in the context of JNI systems. We then investigate the prevalence of those design smells and their impacts on fault-proneness. Specifically, we detect 15 design smells in 98 releases of 9 open-source JNI projects. Our results show that the design smells are prevalent in the selected projects and persist throughout the releases of the systems. We observe that, in the analyzed systems, 33.95% of the files involving communications between Java and C/C++ contain occurrences of multi-language design smells. Some kinds of smells are more prevalent than others, e.g., Unused Parameters , Too Much Scattering , and Unused Method Declaration . Our results suggest that files with multi-language design smells can often be more associated with bugs than files without these smells, and that specific smells are more correlated to fault-proneness than others. From analyzing fault-inducing commit messages, we also extracted activities that are more likely to introduce bugs in smelly files. We believe that our findings are important for practitioners as it can help them prioritize design smells during the maintenance of multi-language systems.

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